AWS QA Engineer ( App Modernization & AI driven Testing)

Tasks

AWS QA Engineer (App Modernization & AI-driven Testing)

Duration: 4 -6 months

Location: London -Hybrid (3 Days onsite)

Role Overview

We are seeking a skilled AWS QA Engineer with strong experience in testing serverless and event-driven architectures. The role focuses on validating modern cloud-native applications built on AWS, ensuring high quality across application modernization programs, while leveraging AI-assisted testing using AWS Kiro.

Key Responsibilities

Functional & Automation Testing (AWS Serverless)

• Design, develop, and execute test strategies and test cases for applications built on:

• AWS Lambda, API Gateway

• Amazon EventBridge

• Amazon Kinesis Data Streams

• Validate event-driven and streaming workflows, including message processing and data consistency.

• Develop automated test scripts to validate:

• API responses

• Event flows and triggers

• Data persistence in DynamoDB / S3

Event-driven & Streaming Validation

• Create and execute test scenarios for:

• Kinesis stream data ingestion and processing

• Event orchestration via EventBridge

• Validate end-to-end workflows across microservices and serverless components.

• Perform integration testing and contract testing across services.

Application Modernization Testing

• Support testing for modernized applications (legacy → cloud-native).

• Perform:

• Functional testing

• Regression testing (pre/post migration comparison)

• System Integration Testing (SIT)

• Validate API-driven and microservices-based architectures [AWS Server...sting v1.0 | PowerPoint]

AI-driven Testing (Kiro)

• Leverage AWS Kiro for AI-assisted testing to improve productivity.

• Use AI for:

• Test case generation

• Test data preparation

• Automated validation and defect detection

• Contribute to AI-enabled quality engineering practices.

Performance, Reliability & Security Testing

• Execute:

• Performance and load testing for serverless workloads

• Resilience and failure scenario testing (event loss, retries, scaling)

• Validate:

• Security and access controls (IAM roles, authentication flows)

• Data integrity and system reliability

Automation & DevOps Integration

• Build and maintain automated testing frameworks for AWS workloads.

• Integrate testing into CI/CD pipelines.

• Enable automated validation for:

• Serverless APIs

• Event-driven systems

• Ensure continuous testing and fast feedback cycles.

Requirements

Required Skills & Experience

Core Testing & AWS Skills

• Strong experience in QA / Automation testing for cloud applications

• Hands-on experience with:

• AWS Lambda

• Amazon EventBridge

• Amazon Kinesis Data Streams

• API Gateway

• DynamoDB and S3

• Experience testing event-driven and serverless architectures

• Test Automation & Tools

• Experience with:

• Automation frameworks (Jest framework, Java/Springboot, or similar)

• API testing tools (Postman, REST clients)

• Ability to:

• Create automated test suites

• Validate JSON-based inputs/outputs for APIs and events

• Knowledge of:

• BDD frameworks (Cucumber - good to have)

Application Modernization Testing

• Experience in testing:
• Microservices architectures
• API-first systems
• Strong understanding of:
• Integration flows
• Data validation across distributed systems

AI & Innovation

• Exposure to:
• AI-assisted testing (AWS Kiro preferred)
• Test automation using GenAI tools
• Interest in driving AI-enabled QA practices

DevOps & Engineering Practices

• Experience integrating tests within:
• CI/CD pipelines (GitHub Actions, Jenkins)
• Familiarity with:
• Infrastructure as Code validation (CDK)
• Monitoring tools (CloudWatch)

Preferred Qualifications

• AWS Certified (Developer or Cloud Practitioner)
• Experience with:
• Streaming platforms (Kafka/MSK)
• Performance and security testing tools
• Exposure to enterprise-scale AWS modernization programs